CNVD-2023-53470

Vulnerability from cnvd - Published: 2023-07-05
VLAI
Title
Microsoft Excel安全功能绕过漏洞(CNVD-2023-53470)
Description
Microsoft Excel是美国微软(Microsoft)公司的一款Office套件中的电子表格处理软件。 Microsoft Excel存在安全功能绕过漏洞。攻击者可利用此漏洞绕过安全功能。
Severity
低
Patch Name
Microsoft Excel安全功能绕过漏洞(CNVD-2023-53470)的补丁
Patch Description
Microsoft Excel是美国微软(Microsoft)公司的一款Office套件中的电子表格处理软件。 Microsoft Excel存在安全功能绕过漏洞。攻击者可利用此漏洞绕过安全功能。目前,供应商发布了安全公告及相关补丁信息,修复了此漏洞。
Formal description

目前厂商已经发布了升级补丁以修复这个安全问题,请到厂商的主页下载: https://msrc.microsoft.com/update-guide/vulnerability/CVE-2022-41104

Reference
https://msrc.microsoft.com/update-guide/vulnerability/CVE-2022-41104
Impacted products
Name
['Microsoft Excel 2013 SP1', 'Microsoft Excel 2013 RT SP1', 'Microsoft Excel 2016', 'Microsoft Office 2019', 'Microsoft 365 Apps for Enterprise', 'Microsoft Office LTSC 2021']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-41104",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-41104"
    }
  },
  "description": "Microsoft Excel\u662f\u7f8e\u56fd\u5fae\u8f6f\uff08Microsoft\uff09\u516c\u53f8\u7684\u4e00\u6b3eOffice\u5957\u4ef6\u4e2d\u7684\u7535\u5b50\u8868\u683c\u5904\u7406\u8f6f\u4ef6\u3002\n\nMicrosoft Excel\u5b58\u5728\u5b89\u5168\u529f\u80fd\u7ed5\u8fc7\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u6b64\u6f0f\u6d1e\u7ed5\u8fc7\u5b89\u5168\u529f\u80fd\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u8fd9\u4e2a\u5b89\u5168\u95ee\u9898\uff0c\u8bf7\u5230\u5382\u5546\u7684\u4e3b\u9875\u4e0b\u8f7d\uff1a  https://msrc.microsoft.com/update-guide/vulnerability/CVE-2022-41104",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2023-53470",
  "openTime": "2023-07-05",
  "patchDescription": "Microsoft Excel\u662f\u7f8e\u56fd\u5fae\u8f6f\uff08Microsoft\uff09\u516c\u53f8\u7684\u4e00\u6b3eOffice\u5957\u4ef6\u4e2d\u7684\u7535\u5b50\u8868\u683c\u5904\u7406\u8f6f\u4ef6\u3002\r\n\r\nMicrosoft Excel\u5b58\u5728\u5b89\u5168\u529f\u80fd\u7ed5\u8fc7\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u6b64\u6f0f\u6d1e\u7ed5\u8fc7\u5b89\u5168\u529f\u80fd\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "Microsoft Excel\u5b89\u5168\u529f\u80fd\u7ed5\u8fc7\u6f0f\u6d1e\uff08CNVD-2023-53470\uff09\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Microsoft Excel 2013 SP1",
      "Microsoft Excel 2013 RT  SP1",
      "Microsoft Excel 2016",
      "Microsoft Office 2019",
      "Microsoft 365 Apps for Enterprise",
      "Microsoft Office LTSC 2021"
    ]
  },
  "referenceLink": "https://msrc.microsoft.com/update-guide/vulnerability/CVE-2022-41104",
  "serverity": "\u4f4e",
  "submitTime": "2022-11-10",
  "title": "Microsoft Excel\u5b89\u5168\u529f\u80fd\u7ed5\u8fc7\u6f0f\u6d1e\uff08CNVD-2023-53470\uff09"
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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